{
    "info": {
        "author": "Vladimir Shulyak",
        "author_email": "vladimir@shulyak.net",
        "bugtrack_url": null,
        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3"
        ],
        "description": "# torch-es\nDouble Seasonal Exponential Smoothing using [`PyTorch`](https://pytorch.org) with batched data and multiple series training support.\n\n\n# \ud83d\udccb Roadmap\n\nThere are lots of tools built on top of the code in this repository, so the plan is to add them here eventually.\n\nHere's what's published:\n\n- [x] 3d Holt-Winters implementation\n- [x] Additive and Multiplicative seasonalities\n- [x] Blender module to merge predictions from multiple series.\n- [ ] Training loop for normal and bptt training.\n- [ ] Uncertainty estimation via sampling.\n- [ ] Additional losses\n- [ ] RNN training on top of HW.\n\n# \ud83d\udcda Dependencies\n\n- torch\n- numpy\n\n\n",
        "description_content_type": "text/markdown",
        "docs_url": null,
        "download_url": "",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://github.com/vshulyak/torch-es",
        "keywords": "",
        "license": "",
        "maintainer": "",
        "maintainer_email": "",
        "name": "torch-es",
        "package_url": "https://pypi.org/project/torch-es/",
        "platform": "",
        "project_url": "https://pypi.org/project/torch-es/",
        "project_urls": {
            "Homepage": "https://github.com/vshulyak/torch-es"
        },
        "release_url": "https://pypi.org/project/torch-es/0.0.1/",
        "requires_dist": [
            "torch (>=1.0.0)",
            "numpy (>=1.16.0)"
        ],
        "requires_python": "",
        "summary": "Double Seasonal Exponential Smoothing using PyTorch + ES-RNN capabilities on top",
        "version": "0.0.1"
    },
    "last_serial": 5333363,
    "releases": {
        "0.0.1": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "05eb11db7f8ce8c62005f44e9022311b",
                    "sha256": "9a5c59ea70ffb19f711bf108fbdaa839e0dfc8d12650cd08b3baa38bc53586e0"
                },
                "downloads": -1,
                "filename": "torch_es-0.0.1-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "05eb11db7f8ce8c62005f44e9022311b",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 10118,
                "upload_time": "2019-05-29T16:50:32",
                "url": "https://files.pythonhosted.org/packages/b3/73/d4d37a1a20c25c7f8b92b9aa89c6df5e9cc0c0556d4b6d33ee9edcbdf4a9/torch_es-0.0.1-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "0ab5e31a3bbee086585181982b34eff5",
                    "sha256": "eea6735dfd1716356ae72d5427720743e12029febb1c1e1c94cdeecef9d39306"
                },
                "downloads": -1,
                "filename": "torch-es-0.0.1.tar.gz",
                "has_sig": false,
                "md5_digest": "0ab5e31a3bbee086585181982b34eff5",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 6795,
                "upload_time": "2019-05-29T16:50:35",
                "url": "https://files.pythonhosted.org/packages/d7/b0/cd93b18c4493f67d001aa28dac1b45572f976cb0b6957a13bc687b5b117b/torch-es-0.0.1.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "05eb11db7f8ce8c62005f44e9022311b",
                "sha256": "9a5c59ea70ffb19f711bf108fbdaa839e0dfc8d12650cd08b3baa38bc53586e0"
            },
            "downloads": -1,
            "filename": "torch_es-0.0.1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "05eb11db7f8ce8c62005f44e9022311b",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 10118,
            "upload_time": "2019-05-29T16:50:32",
            "url": "https://files.pythonhosted.org/packages/b3/73/d4d37a1a20c25c7f8b92b9aa89c6df5e9cc0c0556d4b6d33ee9edcbdf4a9/torch_es-0.0.1-py3-none-any.whl"
        },
        {
            "comment_text": "",
            "digests": {
                "md5": "0ab5e31a3bbee086585181982b34eff5",
                "sha256": "eea6735dfd1716356ae72d5427720743e12029febb1c1e1c94cdeecef9d39306"
            },
            "downloads": -1,
            "filename": "torch-es-0.0.1.tar.gz",
            "has_sig": false,
            "md5_digest": "0ab5e31a3bbee086585181982b34eff5",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 6795,
            "upload_time": "2019-05-29T16:50:35",
            "url": "https://files.pythonhosted.org/packages/d7/b0/cd93b18c4493f67d001aa28dac1b45572f976cb0b6957a13bc687b5b117b/torch-es-0.0.1.tar.gz"
        }
    ]
}